Epic Solution Architect

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Epic Solution Architect - Project Delivery Specialist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 01-Jan-2026

Work You'll Do/Responsibilities

As a Project Delivery Specialist II (PDS II) at Deloitte, you will work within an engagement team and be responsible for supporting the overall project goals and objectives. In this role, you will interact with stakeholders and cross-functional teams. It is expected that you will be able to perform independent tasks as well as provide technical guidance to team members, as needed.

• Design and architect health plan applications from the ground up, ensuring scalability, security, and compliance with health plan regulations.
• Proven experience integrating Epic Tapestry application with external systems. Solid understanding of healthcare claim processing workflows, including eligibility, adjudication and payment processes.
• Work command center shifts to investigate during go-live, document, and resolve break-fix tickets.
• Expert in healthcare interoperability and compliance standards in healthcare, such as HIPAA, HL7 and FHIR.
• Deeply experienced Epic analyst to work implementation, build and strong experience with SDLC for Epic.
• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
  
  

The Team

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our Industry Solutions offering provides verticalized solutions that transform how clients sell products, deliver services, generate growth, and execute mission-critical operations. We deliver integrated business expertise with scalable, repeatable technology solutions specifically engineered for each sector.

Qualifications

Required

• Must have a current Epic Tapestry certified
• 6 years of experience in solution design in healthcare applications
• 6 years of experience
• Experience in Epic integration is preferred
• Experience with Payer/Provider applications
• Experience with ANSI transactions
• Experienced in ITIL service methodology or Service NOW
• Familiarity with HIPAA and other regulations
  
  

job

Recruiting for this role ends on March 31, 2026

Work You'll DoThe AI Solutions Leader in Deloitte's Human Capital Consulting HC Forward will be tasked with supporting the sales, solution design, development and deployment of AI products and platforms across Human Capital Solutions. The ideal candidate should have experience in selling products, services, and consulting within the commercial marketplace.

Additionally, the AI Solutions Leader will lead sales and delivery of client engagements, while also designing and delivering architecture for complex AI and engineering problems related to HR applications. They will work cross-functionally with data scientists, DevOps and data engineers, project managers and industry experts to develop robust AI platforms and solutions.

Strategic Business Development

• Analyze industry trends, competitor landscapes and identify strategic growth opportunities.
• Develop and execute account growth plans, manage pipelines and drive deal closures.
• Articulate Deloitte's differentiators and align offerings to evolving client needs.
  
  

Technology Architecture & Solutions Design

• Work with clients to design, develop and deploy technology architecture to support AI, machine learning and automation applications.
• Define and oversee the AI/ML/GenAI technical direction and architectural vision, ensuring alignment with strategic goals and digital transformation efforts.
• Design and lead development on scalable, high-performance data architecture solutions that support both client business as well as AI/GenAI use cases.
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security and high availability.
  
  

Technical Skills & Engineering

• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation and management of structured and unstructured data sources using cloud computing or on-prem technologies.
• Adopt the best engineering practices in automation, AI/GenAI infrastructure and design patterns.
  
  

Collaboration & Stakeholder Engagement

• Collaborate with Enterprise, Application, Data & DevOps Architects, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.
• Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements.
• Develop and maintain contact with top decision makers, lead proposal development, and contribute to pricing strategies.
  
  

Operational Excellence and Continuous Improvement

• Be responsible for the successful execution of AI-powered solutions using agile methodology.
• Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms.
  
  

Risk Management and Ethical Considerations

• Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.
• Address potential issues such as training data poisoning, AI model theft, and adversarial samples.
  
  

Product Strategy and Business Understanding

• Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
• Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches.
  
  

Mentorship & Team Development

• Mentor, motivate and coach junior members on technical best practices and inspire professional development.
  
  

The TeamOur Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients' businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value

Required Qualifications

• Bachelor's degree in STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 8 years in product sales, software engineering, technology architecture, or data engineering roles, with at least 3 years directly leading AI/ML solution sales, design and deployment
• 8 years of experience leading a technical team (both onshore and offshore)
• 2 years of experience architecting, building and deployment machine learning, deep learning or GenAI solutions in production environments
• 8 years of experience with application analysis, design and delivery
• 8 years of managing end-to-end lifecycle: requirements, architecture, engineering, deployment and ongoing optimization
• Proficiency in at least one cloud platform (AWS, Azure, GCP) and strong familiarity with relevant AI/ML tools, frameworks and automation platforms
• Ability to travel 25- 50%, on average, based on the work you do and the clients and industries/sectors you serve
• Live within commuting distance to one of Deloitte's consulting offices
  
  

Preferred Qualifications

• Advanced degrees such as master's are preferred
• Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect
  
  

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $175,300 to $322,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Hartford, Hermitage, Houston, Huntsville, Indianapolis, Jacksonville, Jericho, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tallahassee, Tampa, Tempe, Tulsa, Washington DC

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

For more information about Human Capital, visit our landing page at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html

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